Document (#43257)

Author

Hausser, R.

Title

Language and nonlanguage cognition

Source

https://www.researchgate.net/publication/351747516_Language_and_Nonlanguage_Cognition

Year

2021

Abstract

A basic distinction in agent-based data-driven Database Semantics (DBS) is between language and nonlanguage cognition. Language cognition transfers content between agents by means of raw data. Nonlanguage cognition maps between content and raw data inside the focus agent. {\it Recognition} applies a concept type to raw data, resulting in a concept token. In language recognition, the focus agent (hearer) takes raw language-data (surfaces) produced by another agent (speaker) as input, while nonlanguage recognition takes raw nonlanguage-data as input. In either case, the output is a content which is stored in the agent's onboard short term memory. {\it Action} adapts a concept type to a purpose, resulting in a token. In language action, the focus agent (speaker) produces language-dependent surfaces for another agent (hearer), while nonlanguage action produces intentions for a nonlanguage purpose. In either case, the output is raw action data. As long as the procedural implementation of place holder values works properly, it is compatible with the DBS requirement of input-output equivalence between the natural prototype and the artificial reconstruction.

Theme

Computerlinguistik

Field

Kognitionswissenschaft
Sprachwissenschaft

Similar documents (content)

1. Ambite, J.L.; Knoblock, C.A.: Agents for information gathering (1997) 0.13

   0.128725 = sum of:
     0.128725 = product of:
       1.0727084 = sum of:
         0.05545173 = weight(abstract_txt:data in 3290) [ClassicSimilarity], result of:
           0.05545173 = score(doc=3290,freq=1.0), product of:
             0.13320835 = queryWeight, product of:
               2.529314 = boost
               3.3302255 = idf(docFreq=4320, maxDocs=44421)
               0.015814485 = queryNorm
             0.41627818 = fieldWeight in 3290, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.3302255 = idf(docFreq=4320, maxDocs=44421)
               0.125 = fieldNorm(doc=3290)
         0.10894589 = weight(abstract_txt:language in 3290) [ClassicSimilarity], result of:
           0.10894589 = score(doc=3290,freq=1.0), product of:
             0.20895942 = queryWeight, product of:
               3.1678748 = boost
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.015814485 = queryNorm
             0.52137345 = fieldWeight in 3290, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.125 = fieldNorm(doc=3290)
         0.9083107 = weight(abstract_txt:agent in 3290) [ClassicSimilarity], result of:
           0.9083107 = score(doc=3290,freq=4.0), product of:
             0.5141329 = queryWeight, product of:
               4.600461 = boost
               7.0667386 = idf(docFreq=102, maxDocs=44421)
               0.015814485 = queryNorm
             1.7666847 = fieldWeight in 3290, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               7.0667386 = idf(docFreq=102, maxDocs=44421)
               0.125 = fieldNorm(doc=3290)
       0.12 = coord(3/25)
   

2. ¬The Oxford handbook of 4e cognition (2018) 0.12

   0.12340383 = sum of:
     0.12340383 = product of:
       0.771274 = sum of:
         0.031339973 = weight(abstract_txt:between in 1515) [ClassicSimilarity], result of:
           0.031339973 = score(doc=1515,freq=2.0), product of:
             0.08204355 = queryWeight, product of:
               1.5005146 = boost
               3.4573963 = idf(docFreq=3804, maxDocs=44421)
               0.015814485 = queryNorm
             0.38199192 = fieldWeight in 1515, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.4573963 = idf(docFreq=3804, maxDocs=44421)
               0.078125 = fieldNorm(doc=1515)
         0.12987117 = weight(abstract_txt:action in 1515) [ClassicSimilarity], result of:
           0.12987117 = score(doc=1515,freq=1.0), product of:
             0.26668414 = queryWeight, product of:
               2.7053072 = boost
               6.2334075 = idf(docFreq=236, maxDocs=44421)
               0.015814485 = queryNorm
             0.48698497 = fieldWeight in 1515, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.2334075 = idf(docFreq=236, maxDocs=44421)
               0.078125 = fieldNorm(doc=1515)
         0.5419716 = weight(abstract_txt:cognition in 1515) [ClassicSimilarity], result of:
           0.5419716 = score(doc=1515,freq=8.0), product of:
             0.34562865 = queryWeight, product of:
               3.0798025 = boost
               7.0962973 = idf(docFreq=99, maxDocs=44421)
               0.015814485 = queryNorm
             1.568075 = fieldWeight in 1515, product of:
               2.828427 = tf(freq=8.0), with freq of:
                 8.0 = termFreq=8.0
               7.0962973 = idf(docFreq=99, maxDocs=44421)
               0.078125 = fieldNorm(doc=1515)
         0.068091184 = weight(abstract_txt:language in 1515) [ClassicSimilarity], result of:
           0.068091184 = score(doc=1515,freq=1.0), product of:
             0.20895942 = queryWeight, product of:
               3.1678748 = boost
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.015814485 = queryNorm
             0.3258584 = fieldWeight in 1515, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.078125 = fieldNorm(doc=1515)
       0.16 = coord(4/25)
   

3. Wunderlich, D.: Argument hierarchy and other factors determining argument realization (2006) 0.11

   0.11388548 = sum of:
     0.11388548 = product of:
       0.47452283 = sum of:
         0.02068674 = weight(abstract_txt:case in 658) [ClassicSimilarity], result of:
           0.02068674 = score(doc=658,freq=1.0), product of:
             0.07889353 = queryWeight, product of:
               1.0404559 = boost
               4.794713 = idf(docFreq=998, maxDocs=44421)
               0.015814485 = queryNorm
             0.26221088 = fieldWeight in 658, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.794713 = idf(docFreq=998, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
         0.023349117 = weight(abstract_txt:type in 658) [ClassicSimilarity], result of:
           0.023349117 = score(doc=658,freq=1.0), product of:
             0.08552511 = queryWeight, product of:
               1.0833027 = boost
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.015814485 = queryNorm
             0.2730089 = fieldWeight in 658, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
         0.021937983 = weight(abstract_txt:between in 658) [ClassicSimilarity], result of:
           0.021937983 = score(doc=658,freq=2.0), product of:
             0.08204355 = queryWeight, product of:
               1.5005146 = boost
               3.4573963 = idf(docFreq=3804, maxDocs=44421)
               0.015814485 = queryNorm
             0.26739436 = fieldWeight in 658, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               3.4573963 = idf(docFreq=3804, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
         0.03222708 = weight(abstract_txt:focus in 658) [ClassicSimilarity], result of:
           0.03222708 = score(doc=658,freq=1.0), product of:
             0.121364325 = queryWeight, product of:
               1.5804988 = boost
               4.855588 = idf(docFreq=939, maxDocs=44421)
               0.015814485 = queryNorm
             0.26553997 = fieldWeight in 658, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.855588 = idf(docFreq=939, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
         0.09532765 = weight(abstract_txt:language in 658) [ClassicSimilarity], result of:
           0.09532765 = score(doc=658,freq=4.0), product of:
             0.20895942 = queryWeight, product of:
               3.1678748 = boost
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.015814485 = queryNorm
             0.45620176 = fieldWeight in 658, product of:
               2.0 = tf(freq=4.0), with freq of:
                 4.0 = termFreq=4.0
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
         0.28099427 = weight(abstract_txt:agent in 658) [ClassicSimilarity], result of:
           0.28099427 = score(doc=658,freq=2.0), product of:
             0.5141329 = queryWeight, product of:
               4.600461 = boost
               7.0667386 = idf(docFreq=102, maxDocs=44421)
               0.015814485 = queryNorm
             0.54654014 = fieldWeight in 658, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               7.0667386 = idf(docFreq=102, maxDocs=44421)
               0.0546875 = fieldNorm(doc=658)
       0.24 = coord(6/25)
   

4. Harman, D.: Ranking algorithms (1992) 0.10

   0.10088588 = sum of:
     0.10088588 = product of:
       0.5044294 = sum of:
         0.066041276 = weight(abstract_txt:type in 4511) [ClassicSimilarity], result of:
           0.066041276 = score(doc=4511,freq=2.0), product of:
             0.08552511 = queryWeight, product of:
               1.0833027 = boost
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.015814485 = queryNorm
             0.7721858 = fieldWeight in 4511, product of:
               1.4142135 = tf(freq=2.0), with freq of:
                 2.0 = termFreq=2.0
               4.992163 = idf(docFreq=819, maxDocs=44421)
               0.109375 = fieldNorm(doc=4511)
         0.083221816 = weight(abstract_txt:takes in 4511) [ClassicSimilarity], result of:
           0.083221816 = score(doc=4511,freq=1.0), product of:
             0.12571433 = queryWeight, product of:
               1.3133951 = boost
               6.0524936 = idf(docFreq=283, maxDocs=44421)
               0.015814485 = queryNorm
             0.6619915 = fieldWeight in 4511, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.0524936 = idf(docFreq=283, maxDocs=44421)
               0.109375 = fieldNorm(doc=4511)
         0.13138348 = weight(abstract_txt:produces in 4511) [ClassicSimilarity], result of:
           0.13138348 = score(doc=4511,freq=1.0), product of:
             0.17044614 = queryWeight, product of:
               1.5293138 = boost
               7.0475073 = idf(docFreq=104, maxDocs=44421)
               0.015814485 = queryNorm
             0.7708211 = fieldWeight in 4511, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               7.0475073 = idf(docFreq=104, maxDocs=44421)
               0.109375 = fieldNorm(doc=4511)
         0.12845516 = weight(abstract_txt:input in 4511) [ClassicSimilarity], result of:
           0.12845516 = score(doc=4511,freq=1.0), product of:
             0.1922021 = queryWeight, product of:
               1.9889677 = boost
               6.110481 = idf(docFreq=267, maxDocs=44421)
               0.015814485 = queryNorm
             0.6683338 = fieldWeight in 4511, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.110481 = idf(docFreq=267, maxDocs=44421)
               0.109375 = fieldNorm(doc=4511)
         0.09532765 = weight(abstract_txt:language in 4511) [ClassicSimilarity], result of:
           0.09532765 = score(doc=4511,freq=1.0), product of:
             0.20895942 = queryWeight, product of:
               3.1678748 = boost
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.015814485 = queryNorm
             0.45620176 = fieldWeight in 4511, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.109375 = fieldNorm(doc=4511)
       0.2 = coord(5/25)
   

5. Doval, Y.; Gómez-Rodríguez, C.: Comparing neural- and N-gram-based language models for word segmentation (2019) 0.10

   0.10060312 = sum of:
     0.10060312 = product of:
       0.41917968 = sum of:
         0.03746551 = weight(abstract_txt:either in 675) [ClassicSimilarity], result of:
           0.03746551 = score(doc=675,freq=1.0), product of:
             0.1072358 = queryWeight, product of:
               1.2130338 = boost
               5.59 = idf(docFreq=450, maxDocs=44421)
               0.015814485 = queryNorm
             0.349375 = fieldWeight in 675, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.59 = idf(docFreq=450, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
         0.03951653 = weight(abstract_txt:resulting in 675) [ClassicSimilarity], result of:
           0.03951653 = score(doc=675,freq=1.0), product of:
             0.11111463 = queryWeight, product of:
               1.2347773 = boost
               5.6902003 = idf(docFreq=407, maxDocs=44421)
               0.015814485 = queryNorm
             0.35563752 = fieldWeight in 675, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               5.6902003 = idf(docFreq=407, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
         0.14671887 = weight(abstract_txt:token in 675) [ClassicSimilarity], result of:
           0.14671887 = score(doc=675,freq=1.0), product of:
             0.26642564 = queryWeight, product of:
               1.9120138 = boost
               8.811096 = idf(docFreq=17, maxDocs=44421)
               0.015814485 = queryNorm
             0.5506935 = fieldWeight in 675, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               8.811096 = idf(docFreq=17, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
         0.073402956 = weight(abstract_txt:input in 675) [ClassicSimilarity], result of:
           0.073402956 = score(doc=675,freq=1.0), product of:
             0.1922021 = queryWeight, product of:
               1.9889677 = boost
               6.110481 = idf(docFreq=267, maxDocs=44421)
               0.015814485 = queryNorm
             0.38190505 = fieldWeight in 675, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               6.110481 = idf(docFreq=267, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
         0.027725864 = weight(abstract_txt:data in 675) [ClassicSimilarity], result of:
           0.027725864 = score(doc=675,freq=1.0), product of:
             0.13320835 = queryWeight, product of:
               2.529314 = boost
               3.3302255 = idf(docFreq=4320, maxDocs=44421)
               0.015814485 = queryNorm
             0.20813909 = fieldWeight in 675, product of:
               1.0 = tf(freq=1.0), with freq of:
                 1.0 = termFreq=1.0
               3.3302255 = idf(docFreq=4320, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
         0.094349906 = weight(abstract_txt:language in 675) [ClassicSimilarity], result of:
           0.094349906 = score(doc=675,freq=3.0), product of:
             0.20895942 = queryWeight, product of:
               3.1678748 = boost
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.015814485 = queryNorm
             0.45152265 = fieldWeight in 675, product of:
               1.7320508 = tf(freq=3.0), with freq of:
                 3.0 = termFreq=3.0
               4.1709876 = idf(docFreq=1863, maxDocs=44421)
               0.0625 = fieldNorm(doc=675)
       0.24 = coord(6/25)